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    KDD
    2004
    ACM
    139views Data Mining» more  KDD 2004»
    Learning a complex metabolomic dataset using random forests and support vector machines
    14 years 10 months ago
    Learning a complex metabolomic dataset using random forests and support vector machines
    Download  math.uc.edu
    Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
    Young Truong, Xiaodong Lin, Chris Beecher
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    COLING
    2000
    84views Computational Linguistics» more  COLING 2000»
    Effects of Adjective Orientation and Gradability on Sentence Subjectivity
    13 years 11 months ago
    Effects of Adjective Orientation and Gradability on Sentence Subjectivity
    Download  www.cs.columbia.edu
    Subjectivity is a pragmatic, sentence-level feature that has important implications for text processing applications such as information extraction and information retrieval. We s...
    Vasileios Hatzivassiloglou, Janyce Wiebe
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    EOR
    2006
    97views more  EOR 2006»
    Bayesian portfolio selection with multi-variate random variance models
    13 years 10 months ago
    Bayesian portfolio selection with multi-variate random variance models
    Download  business.gwu.edu
    We consider multi-period portfolio selection problems for a decision maker with a specified utility function when the variance of security returns is described by a discrete time ...
    Refik Soyer, Kadir Tanyeri
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    COMCOM
    2008
    76views more  COMCOM 2008»
    A study of self-organization mechanisms in ad hoc and sensor networks
    13 years 10 months ago
    A study of self-organization mechanisms in ad hoc and sensor networks
    Download  www7.informatik.uni-erlangen.de
    Self-organization is a great concept for building scalable systems consisting of a huge number of subsystems. The primary objectives are improved scalability and dynamic adaptatio...
    Falko Dressler
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    CVPR
    2009
    IEEE
    1863views Computer Vision» more  CVPR 2009»
    Abnormal Crowd Behavior Detection using Social Force Model
    15 years 5 months ago
    Abnormal Crowd Behavior Detection using Social Force Model
    Download  www.cs.ucf.edu
    In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
    Alexis Oyama, Mubarak Shah, Ramin Mehran
    posted by rmehran
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